InferSent

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Semantic Textual SimilarityonSentEval
SICK-E· 2017-05-05
86.3
best: 87.8 (GenSen)
SOTA
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data arXiv:1705.02364
Semantic Textual SimilarityonSentEval
SICK-R· 2017-05-05
0.884
best: 0.888 (GenSen)
SOTA
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data arXiv:1705.02364